Pointagram MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Create Player, Get Player Stats, List Players, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pointagram through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Pointagram app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pointagram": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Pointagram Agent",
instructions:
"You help users interact with Pointagram " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Pointagram?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Pointagram MCP Server
Connect your Pointagram account to any AI agent to streamline your team gamification and engagement workflows. Pointagram provides a powerful platform for programmatically managing players, teams, and score series through its robust v2.0 REST API.
Mastra's agent abstraction provides a clean separation between LLM logic and Pointagram tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Player Orchestration — List and create player profiles with detailed tracking of levels, nicknames, and avatars
- Scoring Event Automation — Post real-time scoring events to update player points across different score series programmatically
- Team Management — Access and monitor your gamification teams and retrieve detailed membership metadata
- Score Series Discovery — List all your active score series to understand how points are accumulated and distributed
- Performance Intelligence — Retrieve granular player stats and rankings using natural language commands
The Pointagram MCP Server exposes 6 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Pointagram tools available for Mastra AI
When Mastra AI connects to Pointagram through Vinkius, your AI agent gets direct access to every tool listed below — spanning gamification, employee-engagement, leaderboards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass data as a JSON string. Create a new player
Get stats for a player
List all Pointagram players
List all score series
List all Pointagram teams
Pass data as a JSON string. Post a scoring event
Connect Pointagram to Mastra AI via MCP
Follow these steps to wire Pointagram into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Pointagram MCP Server
Mastra AI provides unique advantages when paired with Pointagram through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pointagram without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Pointagram tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Pointagram + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Pointagram MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Pointagram, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Pointagram as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Pointagram on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Pointagram tools alongside other MCP servers
Example Prompts for Pointagram in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Pointagram immediately.
"List all active players in Pointagram."
"Post 100 points for player '123' in the 'Sales Bonus' series."
"Show me the top 5 score series."
Troubleshooting Pointagram MCP Server with Mastra AI
Common issues when connecting Pointagram to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPointagram + Mastra AI FAQ
Common questions about integrating Pointagram MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.